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Snap.svg VS D3.js

Compare Snap.svg VS D3.js and see what are their differences

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Snap.svg logo Snap.svg

Snap.svg is a javascript SVG library for the modern web.

D3.js logo D3.js

D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
  • Snap.svg Landing page
    Landing page //
    2019-06-27
  • D3.js Landing page
    Landing page //
    2023-07-11

D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. For example, you can use D3 to generate an HTML table from an array of numbers. Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction.

D3 is not a monolithic framework that seeks to provide every conceivable feature. Instead, D3 solves the crux of the problem: efficient manipulation of documents based on data. This avoids proprietary representation and affords extraordinary flexibility, exposing the full capabilities of web standards such as HTML, SVG, and CSS. With minimal overhead, D3 is extremely fast, supporting large datasets and dynamic behaviors for interaction and animation. D3’s functional style allows code reuse through a diverse collection of official and community-developed modules.

Snap.svg features and specs

  • Modern SVG Support
    Snap.svg is specifically designed for modern web standards and provides extensive support for SVG graphics, making it easier to create, modify, and animate SVG content.
  • Ease of Use
    The library offers a straightforward and user-friendly API, which simplifies the process of creating complex SVG graphics and animations even for developers with limited experience in SVG.
  • Extensive Documentation
    Snap.svg comes with comprehensive documentation and examples, which help developers quickly understand its capabilities and implement them efficiently.
  • Interactivity
    The library supports interactivity features, enabling developers to create rich, interactive SVG content by easily attaching event listeners to SVG elements.
  • Cross-Browser Compatibility
    Snap.svg is built to work well on all modern browsers, ensuring that your SVG content is accessible to a wide audience without compatibility issues.

Possible disadvantages of Snap.svg

  • Lack of Active Development
    As of now, Snap.svg is not actively maintained, which might lead to difficulties in finding support for new issues or updates that ensure compatibility with the latest web standards.
  • Performance Limitations
    While Snap.svg works well for many projects, it might not perform as efficiently as native solutions for highly demanding or resource-intensive applications.
  • Limited Community Support
    Compared to larger, more widely used libraries, Snap.svg has a smaller community, which may result in fewer resources, tutorials, and third-party plugins being available.
  • Not Suitable for All Use Cases
    Although suitable for a wide range of SVG manipulations, Snap.svg might not cover very specific or advanced use cases, requiring developers to seek alternatives or custom solutions.

D3.js features and specs

  • Powerful Visualization
    D3.js allows for the creation of highly customized and interactive data visualizations, harnessing the full power of web standards like SVG, Canvas, and HTML.
  • Data Binding
    It offers robust support for data-driven transformations and binding, enabling intuitive connections between data sets and DOM elements.
  • Community and Ecosystem
    A large and active community contributes to tutorials, plugins, and tools, which can significantly simplify the development process.
  • Flexibility
    D3.js is highly flexible, providing low-level manipulation capabilities without being tied to any specific chart types or patterns.
  • Performance
    It is highly optimized for performance, allowing for efficient rendering of complex visualizations even with large data sets.

Possible disadvantages of D3.js

  • Steep Learning Curve
    D3.js has a steep learning curve due to its low-level nature and requires a solid understanding of JavaScript, DOM manipulation, and data concepts.
  • Complexity
    Creating complex visualizations can be time-consuming and require a significant amount of custom code, making it less approachable for quick, simple tasks.
  • Browser Compatibility
    Although widely supported, some D3.js features may have inconsistent behavior across different browsers, requiring additional testing and debugging.
  • Documentation
    While extensive, D3.js documentation can be challenging for beginners to navigate and understand, causing misunderstandings and slower development times.
  • Dependency Management
    The library itself is modular, but managing dependencies and integrating D3.js with other JavaScript frameworks or libraries can sometimes be problematic.

Analysis of D3.js

Overall verdict

  • Yes, D3.js is a highly regarded library for data visualization in the web development community.

Why this product is good

  • Flexibility: D3.js provides incredible flexibility in creating complex and interactive visualizations with web standards (SVG, HTML, and CSS).
  • Customization: It allows for high levels of customization, which lets developers create unique and detailed visualizations tailored to their specific needs.
  • Community and Ecosystem: D3.js has a large, active community and a rich ecosystem of plugins and extensions conducive to learning and integration.
  • Data Binding: Offers powerful ways to manipulate documents based on data; the data-driven approach simplifies dynamic interaction creation.
  • Performance: Efficiently manipulates DOM elements and performs well with large datasets if used correctly.

Recommended for

  • Data Scientists and Analysts looking to create custom, interactive visualizations.
  • Web Developers who need to incorporate complex data visualizations into applications.
  • Educators and Researchers presenting data in an engaging way.
  • Anyone needing to build bespoke visualizations that are not possible with off-the-shelf solutions.

Snap.svg videos

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D3.js videos

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Data Visualization with D3.js - Full Tutorial Course

More videos:

  • Review - Let's learn D3.js - D3 for data visualization (full course)

Category Popularity

0-100% (relative to Snap.svg and D3.js)

Snap.svg

D3.js

Javascript UI Libraries
16 16%
Javascript UI Libraries
84% 84
Charting Libraries
9 9%
Charting Libraries
91% 91
Data Visualization
0 0%
Data Visualization
100% 100
Flowcharts
100 100%
Flowcharts
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Snap.svg and D3.js

Snap.svg Reviews

8 Best Free and Open-Source Drawing Libraries in JavaScript
You can see how it performs with respect to Vanilla JS and Snap.svg on the homepage of the website. It is possible to create basic shapes and add them to the DOM using built-in functions. The library comes with all kinds of functions to manipulate the appearance of anything you draw on the screen. There is also support for event listeners so that you can implement...
Source: code.tutsplus.com

D3.js Reviews

6 JavaScript Charting Libraries for Powerful Data Visualizations in 2023
Depending on your requirements, the best JavaScript library is D3.js, as it’s by far the most customizable. However, it’s also really complex and difficult to master. Plus, it’s not as compatible with TypeScript as it is with JavaScript, which can be off-putting for some developers. If you’d prefer a less complex library that you can use with TypeScript, ECharts, and...
Source: embeddable.com
15 JavaScript Libraries for Creating Beautiful Charts
When we think of charting today, D3.js is the first name that comes up. Being an open source project, D3.js definitely brings many powerful features that were missing in most of the existing libraries. Features like dynamic properties, Enter and Exit, powerful transitions, and syntax familiarity with jQuery make it one the best JavaScript libraries for charting. Charts in...
Source: www.sitepoint.com
Top 20 Javascript Libraries
D3 stands for Data-Driven Documents. With D3, you can apply data-driven transformations to DOM objects. The keyword with D3 is ‘data-driven,’ which means documents are manipulated depending on the data received. Data can be received in any format and bound with DOM objects. D3 is very fast and supports dynamic behavior for animation and interactions. There are plenty of...
Source: hackr.io
20+ JavaScript libraries to draw your own diagrams (2022 edition)
D3.js is a JavaScript library for manipulating documents based on data. Right now, I would say is the most popular library of its kind.
Source: modeling-languages.com
15 data science tools to consider using in 2021
Another open source tool, D3.js is a JavaScript library for creating custom data visualizations in a web browser. Commonly known as D3, which stands for Data-Driven Documents, it uses web standards, such as HTML, Scalable Vector Graphics and CSS, instead of its own graphical vocabulary. D3's developers describe it as a dynamic and flexible tool that requires a minimum amount...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, D3.js seems to be a lot more popular than Snap.svg. While we know about 167 links to D3.js, we've tracked only 9 mentions of Snap.svg. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Snap.svg mentions (9)

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D3.js mentions (167)

  • IO Devices and Latency
    Do you mean something for data visualization, or tricks condensing large data sets with cursors? https://d3js.org/ Best of luck =3. - Source: Hacker News / 3 months ago
  • 2024 Nuxt3 Annual Ecosystem Summary🚀
    Document address: D3.js Official Document. - Source: dev.to / 5 months ago
  • 100+ Must-Have Web Development Resources
    D3.js: One of the most popular JavaScript visualization libraries. - Source: dev.to / 8 months ago
  • What are npm Peer Dependencies and how to use them?
    A Dependency is an npm package that our code depends on in order to be able to run. Some popular packages that can be added as dependencies are lodash, D3, and chartjs. - Source: dev.to / 8 months ago
  • Introducing RacingBars 📊
    RacingBars is an open-source, light-weight (~45kb gzipped), easy-to-use, and feature-rich javascript library for bar chart race, based on D3.js. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing Snap.svg and D3.js, you can also consider the following products

p5.js - JS library for creating graphic and interactive experiences

Chart.js - Easy, object oriented client side graphs for designers and developers.

Paper.js - Open source vector graphics scripting framework that runs on top of the HTML5 Canvas.

Plotly - Low-Code Data Apps

Pixi.js - Fast lightweight 2D library that works across all devices

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

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